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Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis

Coronavirus Disease 2019 (COVID-19) can present with different grades of severity from mild to critical. Evaluation of biomarkers predicting severity is crucial to identify patients at high risk of disease progression and poor prognosis. Serum Amyloid A (SAA) is an acute-phase protein mainly produce...

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Autores principales: Pieri, Massimo, Ciotti, Marco, Nuccetelli, Marzia, Perrone, Marco Alfonso, Caliò, Maria Teresa, Lia, Maria Stella, Minieri, Marilena, Bernardini, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923863/
https://www.ncbi.nlm.nih.gov/pubmed/33735714
http://dx.doi.org/10.1016/j.intimp.2021.107512
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author Pieri, Massimo
Ciotti, Marco
Nuccetelli, Marzia
Perrone, Marco Alfonso
Caliò, Maria Teresa
Lia, Maria Stella
Minieri, Marilena
Bernardini, Sergio
author_facet Pieri, Massimo
Ciotti, Marco
Nuccetelli, Marzia
Perrone, Marco Alfonso
Caliò, Maria Teresa
Lia, Maria Stella
Minieri, Marilena
Bernardini, Sergio
author_sort Pieri, Massimo
collection PubMed
description Coronavirus Disease 2019 (COVID-19) can present with different grades of severity from mild to critical. Evaluation of biomarkers predicting severity is crucial to identify patients at high risk of disease progression and poor prognosis. Serum Amyloid A (SAA) is an acute-phase protein mainly produced by the liver in response to pro-inflammatory cytokines. In this study, we investigated SAA levels at admission (T1) and after 15 days (T2) of hospitalization in two groups of patients: survivors and non-survivors. At T1, the non-survivors showed higher SAA level than survivors (74 mg/dL vs 48.75 mg/dL). At T2, the survivor group value decreased to 6.55 mg/dL, the non-survivor group still showed high levels (51.1 mg/dL). The SAA level in control group was 0.35 mg/dL. Furthermore, a cut-off value of 63 mg/dL able to discriminate survivors from non-survivors was established by ROC curve analysis at T1. At T2, the cut-off decreased to 30.9 mg/dL. A similar decreasing trend was observed for D-Dimer, hsCRP, IL-6 and procalcitonin levels. The results of this retrospective study suggest that SAA is a good marker of COVID-19 disease alone and/or in combination with other inflammatory biomarkers. Identification of reliable prognostic analytes is of great clinical relevance, as it would improve patient management besides being costs saving.
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spelling pubmed-79238632021-03-03 Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis Pieri, Massimo Ciotti, Marco Nuccetelli, Marzia Perrone, Marco Alfonso Caliò, Maria Teresa Lia, Maria Stella Minieri, Marilena Bernardini, Sergio Int Immunopharmacol Article Coronavirus Disease 2019 (COVID-19) can present with different grades of severity from mild to critical. Evaluation of biomarkers predicting severity is crucial to identify patients at high risk of disease progression and poor prognosis. Serum Amyloid A (SAA) is an acute-phase protein mainly produced by the liver in response to pro-inflammatory cytokines. In this study, we investigated SAA levels at admission (T1) and after 15 days (T2) of hospitalization in two groups of patients: survivors and non-survivors. At T1, the non-survivors showed higher SAA level than survivors (74 mg/dL vs 48.75 mg/dL). At T2, the survivor group value decreased to 6.55 mg/dL, the non-survivor group still showed high levels (51.1 mg/dL). The SAA level in control group was 0.35 mg/dL. Furthermore, a cut-off value of 63 mg/dL able to discriminate survivors from non-survivors was established by ROC curve analysis at T1. At T2, the cut-off decreased to 30.9 mg/dL. A similar decreasing trend was observed for D-Dimer, hsCRP, IL-6 and procalcitonin levels. The results of this retrospective study suggest that SAA is a good marker of COVID-19 disease alone and/or in combination with other inflammatory biomarkers. Identification of reliable prognostic analytes is of great clinical relevance, as it would improve patient management besides being costs saving. Elsevier B.V. 2021-06 2021-03-02 /pmc/articles/PMC7923863/ /pubmed/33735714 http://dx.doi.org/10.1016/j.intimp.2021.107512 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Pieri, Massimo
Ciotti, Marco
Nuccetelli, Marzia
Perrone, Marco Alfonso
Caliò, Maria Teresa
Lia, Maria Stella
Minieri, Marilena
Bernardini, Sergio
Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis
title Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis
title_full Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis
title_fullStr Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis
title_full_unstemmed Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis
title_short Serum Amyloid A Protein as a useful biomarker to predict COVID-19 patients severity and prognosis
title_sort serum amyloid a protein as a useful biomarker to predict covid-19 patients severity and prognosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923863/
https://www.ncbi.nlm.nih.gov/pubmed/33735714
http://dx.doi.org/10.1016/j.intimp.2021.107512
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